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The Implementation of a Stand-alone Video Tracking and Analysis System for Animal Behavior Measurement in Morris Water Maze

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4 Author(s)
Yu-Jen Chen ; Department of Electronic Engineering, Nation Cheng-Kung University, Taiwan ; Yan-Chay Li ; Ke-Nung Huang ; Ming-Shing Young

In this paper, a digital image tracking and analysis system based on FPGA is presented. The goal of this research is to build an animal tracking system with a new algorithm for Morris water maze experiment application. Our tracking algorithm can track animal motion and is insensitive to environment brightness change. The system can process the high-resolution image up to 700times480 pixels in real-time speed. We can analyze tiny animal behavior change precisely. This system is very compact and is portable. Compared with other similar device, our system is a standalone operation without the need of a personal computer

Published in:

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

Date of Conference:

17-18 Jan. 2006